Model card
NV-Embed-v2.
NVIDIAopen-source7B paramsMistral-7B (LLM-based embedding)
Rank #1 on MTEB (56 tasks) as of Aug 2024 with 72.31 average score.
§ 01 · Benchmarks
Every benchmark NV-Embed-v2 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | BEIR | Natural Language Processing · Text Ranking | ndcg@10 | 62.6% | #1 | 2024-09-01 | source ↗ |
| 02 | MTEB Leaderboard | Natural Language Processing · Feature Extraction | avg-score | 72.3% | #1 | 2024-09-01 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area
Where NV-Embed-v2 actually performs.
§ 03 · Papers
1 paper with results for NV-Embed-v2.
- 2024-09-01· Natural Language Processing· 2 results
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
§ 04 · Related models
Other NVIDIA models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
2
results
2 of 2 rows marked verified.